Credit Analytics Data Scientist - Early Career (Hybrid)

SECU; Wake Forest (NC); Hybrid; USD 70,000 - 100,000; Full time

Job summary

SECU is seeking a Loan Analytics Associate Data Scientist to collaborate with senior team members to build predictive models across loan portfolios and develop complex reports and dashboards from multiple data sources. The role emphasizes data-driven recommendations and strong analytical problem solving.

The position supports hybrid work as needed by department, with focus on delivering actionable insights to regulators and vendors while communicating effectively at multiple levels of the

Qualifications

• Four-year degree or equivalent required.
• 0–2 years of experience.
• Strong analytical, problem-solving, and communication skills.
• Ability to define complex business problems and deliver data-driven insights.
• CRISP-DM methodology knowledge and application experience.

Responsibilities

• Collaborate with Senior Data Scientists to develop ML models and forecasts for loan portfolio metrics (delinquency, default, origination).
• Extract data from core systems and data warehouse, and create reports and dashboards.
• Identify data quality issues and adjust analyses accordingly.
• Support operations with routine report writing, validation, and analyses.

Skills

Data analytics

Communication

Collaboration

CRISP-DM

Education

Four-year degree

High school diploma or equivalent

Tools

SQL

R

Python

SAS

WebFOCUS

Power BI

SSRS

Tableau

Excel

Job description

SECU is seeking a Loan Analytics Associate Data Scientist to collaborate with senior team members to build predictive models across loan portfolios and develop complex reports and dashboards from multiple data sources. The role emphasizes data-driven recommendations and strong analytical problem solving.

The position supports hybrid work as needed by department, with focus on delivering actionable insights to regulators and vendors while communicating effectively at multiple levels of the